AI ML Engineer

Position Overview This role is for a hands‑on Data Science Engineer who will design, build, and deploy production‑grade Machine Learning and Generative AI solutions, primarily focused on LLM‑based applications. Key Responsibilities Design and implement AI/ML solutions using Python and modern ML frameworks. Develop and optimize prompt‑engineering strategies for LLM‑based systems. Build and deploy Retrieval‑Augmented Generation (RAG) pipelines. Develop and orchestrate Agentic AI workflows with tool/function calling. Implement vector search solutions using Vector Databases. Ensure CI/CD integration and cloud deployment (Azure preferred). Establish observability, monitoring, and evaluation frameworks for AI systems. Collaborate with cross‑functional teams to deliver production‑ready AI features. Required Skills & Experience Strong Python expertise. Experience with ML/GenAI development from concept to production. Knowledge of tagging and labeling workflows, prompt engineering, document extraction, parsing, and chunking. Experience with structured and unstructured data. Familiarity with Vector Databases and MongoDB. Production‑grade ML engineering skills. Background in Applied Data Science or similar. Experience with Azure cloud and CI/CD pipelines. Qualifications Bachelor of Computer Science (or related field). Benefits Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing. Location Woodland Hills, CA Salary Range $140,000–$160,000 per year #J-18808-Ljbffr Tata Consultancy Services Limited